// AI news · 2026-11-03 · AWS Machine Learning Blog
Use Crawl4AI to Preprocess Web Content for Amazon Bedrock Knowledge Bases
Crawl4AI preprocesses web content into structured Markdown with metadata before ingestion into Amazon Bedrock Knowledge Bases.
Published 2026-11-03 01:11 (Beijing time)Source AWS Machine Learning BlogAuto-summarised, fact-checked against source
01Summary
It enables targeted extraction, pruning of boilerplate, and custom metadata tagging. The workflow runs on AWS Fargate, uploads output to S3, and triggers ingestion. It supports both managed and customer-managed knowledge bases, processes only public pages, and does not include authentication or real-time web access.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Crawl4AI converts web content into structured Markdown with metadata.
- Supports targeted extraction via CSS selectors and crawl scope constraints.
- Output is uploaded to S3 and ingested by Amazon Bedrock Knowledge Bases.
- Only public pages are processed; no authentication or real-time access.
03Source
Prepare web content for Amazon Bedrock Knowledge Bases with Crawl4AI
AWS Machine Learning Blog · published 2026-11-03 01:11 Beijing time
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